README.md

---
license: mit
language:
- en
tags:
- engineering
size_categories:
- 1B<n<10B
---

# 🏗️ BridgePoint-Seg Dataset

**BridgePoint-Seg** is a synthetic 3D point cloud dataset developed for large-scale masonry bridge segmentation. It provides training and test sets of point clouds with detailed semantic labels across straight and curved masonry bridges.

## 📁 Dataset Structure

```
BridgePoint-Seg/
├── syn_data/
│   ├── train/
│   │   ├── straight_bridge/      # 2,177 training samples
│   │   └── curved_bridge/        # 1,500 training samples
│   └── test/
│       ├── straight_bridge/      # 87 test samples
│       └── curved_bridge/        # 500 test samples
```

Each point cloud sample includes:
- `points.npz`: A NumPy file containing a point cloud of shape *(N, 3)* with key `'xyz'`.
- `points_label.npz`: A NumPy file containing per-point semantic labels with key `'sem_label'`.

## 🧾 File Format

| File               | Content                        | Key         | Shape        |
|--------------------|--------------------------------|-------------|--------------|
| `points.npz`       | 3D coordinates of point cloud  | `xyz`       | *(N, 3)*     |
| `points_label.npz` | Semantic labels per point      | `sem_label` | *(N,)*       |

## 📊 Statistics

| Set        | Category         | Samples |
|------------|------------------|---------|
| `train`    | `straight_bridge`| 2,177   |
| `train`    | `curved_bridge`  | 1,500   |
| `test`     | `straight_bridge`| 87      |
| `test`     | `curved_bridge`  | 500     |

## 🧠 Applications

BridgePoint-Seg supports research on:
- Semantic segmentation of large-scale point clouds
- Generalization to bridge structures with different geometries
- Training lightweight deep learning architectures for infrastructure monitoring

## Citations

If you find our dataset is beneficial to your research, please consider citing:

```cite
@article{jing2024lightweight,
  title={A lightweight Transformer-based neural network for large-scale masonry arch bridge point cloud segmentation},
  author={Jing, Yixiong and Sheil, Brian and Acikgoz, Sinan},
  journal={Computer-Aided Civil and Infrastructure Engineering},
  year={2024},
  publisher={Wiley Online Library}
}

@article{jing2022segmentation,
  title={Segmentation of large-scale masonry arch bridge point clouds with a synthetic simulator and the BridgeNet neural network},
  author={Jing, Yixiong and Sheil, Brian and Acikgoz, Sinan},
  journal={Automation in Construction},
  volume={142},
  pages={104459},
  year={2022},
  publisher={Elsevier}
}
```

## License

Our work is subjected to MIT License.